Take stock and get the latest news in the SQL Server field. This is also a great opportunity to ask any burning questions you have, may be a problem at work.

It's also a great opportunity to share your knowledge and gain exposure in the industry by giving a short 1 - 6 minute "nugget" demo/tip.

6.30pm – 7:30 Allan Mitchell, SQL Server MVP;Konesans*

Time Gentlemen Please.

Making predictions over time is a very common use of Data Mining. Whether you want to know what the FX rate of EUR to GBP will look like over the next 3 months or you want to know what skills to train the service desk personnel in based on current support call trends, time series data mining is going to help you a lot.

In this presentation I want to look at what MS is offering in SQL Server 2008 for Time Series Analysis. We will look at the different algorithms available, when to use them and how. We will also have a look at the effects of changing some of the parameters in the Mining model like AUTODETECTPERIODICITY and MISSINGVALUESUBSTITUTION. We will also spend a small amount of time querying the Time series model to get a handle on the possibilities outside of BIDs.

Data Mining is often seen as super complex and off-putting but I am going to try and change that view and make this session fun.

7:30pm – 7:50 BREAK: Light refreshments

More time to network and ask questions...

7:50pm – 9.00pm Chris Webb, SQL Server MVP; Cross Join Consulting

Creating an SSIS, SSAS and SSRS monitoring solution with SSIS, SSAS and SSRS

The Microsoft BI stack is now mainstream, and mission-critical implementations can be found in the largest businesses worldwide. However, the kind of monitoring tools that we take for granted with the relational engine simply don't exist yet for Integration Services, Analysis Services and Reporting Services. How do we know if our Integration Services packages are taking longer and longer to run every day, who's running that big query that's slowing Analysis Services down, or if the boss ever looks at that Reporting Services report you took three weeks to create for him? Luckily the solution is close at hand: we can use SSIS, SSAS and SSRS to build an application for monitoring SSIS, SSAS and SSRS. This session will describe how you can do this.

Published 5 years ago, running time 0h39m

In this episode, Woody sits down with Andrew Brust to discuss another “big” technology for developers and IT professionals: Big Data. Woody and Andrew talk about what Big Data is, who is using it, what tools are available and finally how we has technologists can use this for our products and serv.